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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_harrell_davis.wasp
Title produced by softwareHarrell-Davis Quantiles
Date of computationSat, 24 Dec 2016 15:18:01 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2016/Dec/24/t14825927016hdyer77mapz7y5.htm/, Retrieved Sat, 27 Apr 2024 21:08:59 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 27 Apr 2024 21:08:59 +0200
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact0

Tree of Dependent Computations

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11
13
15
29
31
22
36
39
30
20
18
13
11
16
20
29
31
24
40
41
25
19
19
18
10
17
25
30
32
24
38
36
26
25
26
16
12
15
21
33
32
24
41
38
28
24
30
18

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]2 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.166644918430.87263928338988
0.0210.41666634620820.75982611615514
0.0310.70690249074430.714094468851503
0.0411.01048388479040.767160979786889
0.0511.31936128434160.888285522775273
0.0611.63572682711931.03043163832832
0.0711.96346784451381.16392234244265
0.0812.30390392798521.27657039591726
0.0912.65524092980451.36620455760914
0.113.01373828017831.43454256318925
0.1113.3750607538951.4838362011792
0.1213.73517460492661.51591064087921
0.1314.09074868487681.53253599993947
0.1414.43924320766481.5360118998519
0.1514.77886198511841.52931363322259
0.1615.10846504278191.51574198430676
0.1715.42747384404841.4983538511636
0.1815.73577342537481.47945630384081
0.1916.03361408560531.46053160190977
0.216.32152203879461.44230619657323
0.2116.60023150720361.4253441992102
0.2216.87064652882871.41029494774648
0.2317.13383173250051.39832782988227
0.2417.39102207651211.39114027633005
0.2517.6436357975851.39082176599694
0.2617.89327414712761.39948543371984
0.2718.14169536425581.41894713018008
0.2818.39075693392711.45028308992384
0.2918.64232738753051.49364697492448
0.318.89817503374211.5481048093521
0.3119.15984512662261.61164999038819
0.3219.42853888106371.68144461004869
0.3319.7050077164241.75389200064405
0.3419.98947462760351.82499919580623
0.3520.28159210030951.89061091771644
0.3620.58044282327661.94670831405948
0.3720.88458580448951.98972918095273
0.3821.19214653307182.01685795588458
0.3921.50094575936292.02626671809378
0.421.80865761449062.0173107357105
0.4122.11298457279641.99064835815567
0.4222.41183461334191.94824615690334
0.4322.70348521675491.89322772226452
0.4422.98671971808561.82970775216367
0.4523.26092396469951.76250218970827
0.4623.5261349026311.69678421911606
0.4723.78303715832751.63764531106622
0.4824.03290833805771.58979240871978
0.4924.27751810627521.5569559123105
0.524.51898971807061.54163148475538
0.5124.75963532867441.54478675722919
0.5225.0017780113411.56566897276684
0.5325.24757403553491.60203788111896
0.5425.49884870267191.65038805947978
0.5525.7569580182551.70628840410018
0.5626.02268676987271.76483003739525
0.5726.29619121224541.82099641713418
0.5826.57699155722231.87004976259052
0.5926.86401589758111.90783112885653
0.627.15569322639271.93106879090619
0.6127.45008914496311.93765332117411
0.6227.7450740976421.9267569169044
0.6328.03851101148581.8988790813212
0.6428.3284475056361.85594419416259
0.6528.61329768403681.80099381058577
0.6628.89200001141361.73812158125167
0.6729.16414067051291.67210966180732
0.6829.43003558251151.60815306369559
0.6929.69076819414761.55152661406357
0.729.94818337719271.50725306739993
0.7130.20483966776891.47980989930597
0.7230.46392226906821.47285857994493
0.7330.72911795425921.48898779880417
0.7431.00445103476691.52950470787582
0.7531.29407820093961.59429186201774
0.7631.60204081614721.68152166218662
0.7731.93197745158771.78760636544843
0.7832.28680765570251.9069663716168
0.7932.66840954723142.03228839913047
0.833.07732678935542.15459898247476
0.8133.51255155804882.26401993496413
0.8233.97143524001082.35060140303988
0.8334.44977390045152.40543525537527
0.8434.94209833162162.42188242533831
0.8535.44216813380762.39660102857806
0.8635.94362797318522.33034573062849
0.8736.44073706995022.22826217701307
0.8836.9290379654472.09941033860347
0.8937.40579766449051.95571904065294
0.937.87004489926421.80984119750444
0.9138.32205489273331.67236495270471
0.9238.76221401654841.54836942564509
0.9339.18935064468171.43446317242449
0.9439.59886013540831.31784086808658
0.9539.98126491451461.17851086452201
0.9640.32213714622920.995477169495704
0.9740.60434090117010.757387009422114
0.9840.81298476440990.476554468706244
0.9940.94208185332470.199627759302378

\begin{tabular}{lllllllll}
\hline
Harrell-Davis Quantiles \tabularnewline
quantiles & value & standard error \tabularnewline
0.01 & 10.16664491843 & 0.87263928338988 \tabularnewline
0.02 & 10.4166663462082 & 0.75982611615514 \tabularnewline
0.03 & 10.7069024907443 & 0.714094468851503 \tabularnewline
0.04 & 11.0104838847904 & 0.767160979786889 \tabularnewline
0.05 & 11.3193612843416 & 0.888285522775273 \tabularnewline
0.06 & 11.6357268271193 & 1.03043163832832 \tabularnewline
0.07 & 11.9634678445138 & 1.16392234244265 \tabularnewline
0.08 & 12.3039039279852 & 1.27657039591726 \tabularnewline
0.09 & 12.6552409298045 & 1.36620455760914 \tabularnewline
0.1 & 13.0137382801783 & 1.43454256318925 \tabularnewline
0.11 & 13.375060753895 & 1.4838362011792 \tabularnewline
0.12 & 13.7351746049266 & 1.51591064087921 \tabularnewline
0.13 & 14.0907486848768 & 1.53253599993947 \tabularnewline
0.14 & 14.4392432076648 & 1.5360118998519 \tabularnewline
0.15 & 14.7788619851184 & 1.52931363322259 \tabularnewline
0.16 & 15.1084650427819 & 1.51574198430676 \tabularnewline
0.17 & 15.4274738440484 & 1.4983538511636 \tabularnewline
0.18 & 15.7357734253748 & 1.47945630384081 \tabularnewline
0.19 & 16.0336140856053 & 1.46053160190977 \tabularnewline
0.2 & 16.3215220387946 & 1.44230619657323 \tabularnewline
0.21 & 16.6002315072036 & 1.4253441992102 \tabularnewline
0.22 & 16.8706465288287 & 1.41029494774648 \tabularnewline
0.23 & 17.1338317325005 & 1.39832782988227 \tabularnewline
0.24 & 17.3910220765121 & 1.39114027633005 \tabularnewline
0.25 & 17.643635797585 & 1.39082176599694 \tabularnewline
0.26 & 17.8932741471276 & 1.39948543371984 \tabularnewline
0.27 & 18.1416953642558 & 1.41894713018008 \tabularnewline
0.28 & 18.3907569339271 & 1.45028308992384 \tabularnewline
0.29 & 18.6423273875305 & 1.49364697492448 \tabularnewline
0.3 & 18.8981750337421 & 1.5481048093521 \tabularnewline
0.31 & 19.1598451266226 & 1.61164999038819 \tabularnewline
0.32 & 19.4285388810637 & 1.68144461004869 \tabularnewline
0.33 & 19.705007716424 & 1.75389200064405 \tabularnewline
0.34 & 19.9894746276035 & 1.82499919580623 \tabularnewline
0.35 & 20.2815921003095 & 1.89061091771644 \tabularnewline
0.36 & 20.5804428232766 & 1.94670831405948 \tabularnewline
0.37 & 20.8845858044895 & 1.98972918095273 \tabularnewline
0.38 & 21.1921465330718 & 2.01685795588458 \tabularnewline
0.39 & 21.5009457593629 & 2.02626671809378 \tabularnewline
0.4 & 21.8086576144906 & 2.0173107357105 \tabularnewline
0.41 & 22.1129845727964 & 1.99064835815567 \tabularnewline
0.42 & 22.4118346133419 & 1.94824615690334 \tabularnewline
0.43 & 22.7034852167549 & 1.89322772226452 \tabularnewline
0.44 & 22.9867197180856 & 1.82970775216367 \tabularnewline
0.45 & 23.2609239646995 & 1.76250218970827 \tabularnewline
0.46 & 23.526134902631 & 1.69678421911606 \tabularnewline
0.47 & 23.7830371583275 & 1.63764531106622 \tabularnewline
0.48 & 24.0329083380577 & 1.58979240871978 \tabularnewline
0.49 & 24.2775181062752 & 1.5569559123105 \tabularnewline
0.5 & 24.5189897180706 & 1.54163148475538 \tabularnewline
0.51 & 24.7596353286744 & 1.54478675722919 \tabularnewline
0.52 & 25.001778011341 & 1.56566897276684 \tabularnewline
0.53 & 25.2475740355349 & 1.60203788111896 \tabularnewline
0.54 & 25.4988487026719 & 1.65038805947978 \tabularnewline
0.55 & 25.756958018255 & 1.70628840410018 \tabularnewline
0.56 & 26.0226867698727 & 1.76483003739525 \tabularnewline
0.57 & 26.2961912122454 & 1.82099641713418 \tabularnewline
0.58 & 26.5769915572223 & 1.87004976259052 \tabularnewline
0.59 & 26.8640158975811 & 1.90783112885653 \tabularnewline
0.6 & 27.1556932263927 & 1.93106879090619 \tabularnewline
0.61 & 27.4500891449631 & 1.93765332117411 \tabularnewline
0.62 & 27.745074097642 & 1.9267569169044 \tabularnewline
0.63 & 28.0385110114858 & 1.8988790813212 \tabularnewline
0.64 & 28.328447505636 & 1.85594419416259 \tabularnewline
0.65 & 28.6132976840368 & 1.80099381058577 \tabularnewline
0.66 & 28.8920000114136 & 1.73812158125167 \tabularnewline
0.67 & 29.1641406705129 & 1.67210966180732 \tabularnewline
0.68 & 29.4300355825115 & 1.60815306369559 \tabularnewline
0.69 & 29.6907681941476 & 1.55152661406357 \tabularnewline
0.7 & 29.9481833771927 & 1.50725306739993 \tabularnewline
0.71 & 30.2048396677689 & 1.47980989930597 \tabularnewline
0.72 & 30.4639222690682 & 1.47285857994493 \tabularnewline
0.73 & 30.7291179542592 & 1.48898779880417 \tabularnewline
0.74 & 31.0044510347669 & 1.52950470787582 \tabularnewline
0.75 & 31.2940782009396 & 1.59429186201774 \tabularnewline
0.76 & 31.6020408161472 & 1.68152166218662 \tabularnewline
0.77 & 31.9319774515877 & 1.78760636544843 \tabularnewline
0.78 & 32.2868076557025 & 1.9069663716168 \tabularnewline
0.79 & 32.6684095472314 & 2.03228839913047 \tabularnewline
0.8 & 33.0773267893554 & 2.15459898247476 \tabularnewline
0.81 & 33.5125515580488 & 2.26401993496413 \tabularnewline
0.82 & 33.9714352400108 & 2.35060140303988 \tabularnewline
0.83 & 34.4497739004515 & 2.40543525537527 \tabularnewline
0.84 & 34.9420983316216 & 2.42188242533831 \tabularnewline
0.85 & 35.4421681338076 & 2.39660102857806 \tabularnewline
0.86 & 35.9436279731852 & 2.33034573062849 \tabularnewline
0.87 & 36.4407370699502 & 2.22826217701307 \tabularnewline
0.88 & 36.929037965447 & 2.09941033860347 \tabularnewline
0.89 & 37.4057976644905 & 1.95571904065294 \tabularnewline
0.9 & 37.8700448992642 & 1.80984119750444 \tabularnewline
0.91 & 38.3220548927333 & 1.67236495270471 \tabularnewline
0.92 & 38.7622140165484 & 1.54836942564509 \tabularnewline
0.93 & 39.1893506446817 & 1.43446317242449 \tabularnewline
0.94 & 39.5988601354083 & 1.31784086808658 \tabularnewline
0.95 & 39.9812649145146 & 1.17851086452201 \tabularnewline
0.96 & 40.3221371462292 & 0.995477169495704 \tabularnewline
0.97 & 40.6043409011701 & 0.757387009422114 \tabularnewline
0.98 & 40.8129847644099 & 0.476554468706244 \tabularnewline
0.99 & 40.9420818533247 & 0.199627759302378 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&T=1

[TABLE]
[ROW][C]Harrell-Davis Quantiles[/C][/ROW]
[ROW][C]quantiles[/C][C]value[/C][C]standard error[/C][/ROW]
[ROW][C]0.01[/C][C]10.16664491843[/C][C]0.87263928338988[/C][/ROW]
[ROW][C]0.02[/C][C]10.4166663462082[/C][C]0.75982611615514[/C][/ROW]
[ROW][C]0.03[/C][C]10.7069024907443[/C][C]0.714094468851503[/C][/ROW]
[ROW][C]0.04[/C][C]11.0104838847904[/C][C]0.767160979786889[/C][/ROW]
[ROW][C]0.05[/C][C]11.3193612843416[/C][C]0.888285522775273[/C][/ROW]
[ROW][C]0.06[/C][C]11.6357268271193[/C][C]1.03043163832832[/C][/ROW]
[ROW][C]0.07[/C][C]11.9634678445138[/C][C]1.16392234244265[/C][/ROW]
[ROW][C]0.08[/C][C]12.3039039279852[/C][C]1.27657039591726[/C][/ROW]
[ROW][C]0.09[/C][C]12.6552409298045[/C][C]1.36620455760914[/C][/ROW]
[ROW][C]0.1[/C][C]13.0137382801783[/C][C]1.43454256318925[/C][/ROW]
[ROW][C]0.11[/C][C]13.375060753895[/C][C]1.4838362011792[/C][/ROW]
[ROW][C]0.12[/C][C]13.7351746049266[/C][C]1.51591064087921[/C][/ROW]
[ROW][C]0.13[/C][C]14.0907486848768[/C][C]1.53253599993947[/C][/ROW]
[ROW][C]0.14[/C][C]14.4392432076648[/C][C]1.5360118998519[/C][/ROW]
[ROW][C]0.15[/C][C]14.7788619851184[/C][C]1.52931363322259[/C][/ROW]
[ROW][C]0.16[/C][C]15.1084650427819[/C][C]1.51574198430676[/C][/ROW]
[ROW][C]0.17[/C][C]15.4274738440484[/C][C]1.4983538511636[/C][/ROW]
[ROW][C]0.18[/C][C]15.7357734253748[/C][C]1.47945630384081[/C][/ROW]
[ROW][C]0.19[/C][C]16.0336140856053[/C][C]1.46053160190977[/C][/ROW]
[ROW][C]0.2[/C][C]16.3215220387946[/C][C]1.44230619657323[/C][/ROW]
[ROW][C]0.21[/C][C]16.6002315072036[/C][C]1.4253441992102[/C][/ROW]
[ROW][C]0.22[/C][C]16.8706465288287[/C][C]1.41029494774648[/C][/ROW]
[ROW][C]0.23[/C][C]17.1338317325005[/C][C]1.39832782988227[/C][/ROW]
[ROW][C]0.24[/C][C]17.3910220765121[/C][C]1.39114027633005[/C][/ROW]
[ROW][C]0.25[/C][C]17.643635797585[/C][C]1.39082176599694[/C][/ROW]
[ROW][C]0.26[/C][C]17.8932741471276[/C][C]1.39948543371984[/C][/ROW]
[ROW][C]0.27[/C][C]18.1416953642558[/C][C]1.41894713018008[/C][/ROW]
[ROW][C]0.28[/C][C]18.3907569339271[/C][C]1.45028308992384[/C][/ROW]
[ROW][C]0.29[/C][C]18.6423273875305[/C][C]1.49364697492448[/C][/ROW]
[ROW][C]0.3[/C][C]18.8981750337421[/C][C]1.5481048093521[/C][/ROW]
[ROW][C]0.31[/C][C]19.1598451266226[/C][C]1.61164999038819[/C][/ROW]
[ROW][C]0.32[/C][C]19.4285388810637[/C][C]1.68144461004869[/C][/ROW]
[ROW][C]0.33[/C][C]19.705007716424[/C][C]1.75389200064405[/C][/ROW]
[ROW][C]0.34[/C][C]19.9894746276035[/C][C]1.82499919580623[/C][/ROW]
[ROW][C]0.35[/C][C]20.2815921003095[/C][C]1.89061091771644[/C][/ROW]
[ROW][C]0.36[/C][C]20.5804428232766[/C][C]1.94670831405948[/C][/ROW]
[ROW][C]0.37[/C][C]20.8845858044895[/C][C]1.98972918095273[/C][/ROW]
[ROW][C]0.38[/C][C]21.1921465330718[/C][C]2.01685795588458[/C][/ROW]
[ROW][C]0.39[/C][C]21.5009457593629[/C][C]2.02626671809378[/C][/ROW]
[ROW][C]0.4[/C][C]21.8086576144906[/C][C]2.0173107357105[/C][/ROW]
[ROW][C]0.41[/C][C]22.1129845727964[/C][C]1.99064835815567[/C][/ROW]
[ROW][C]0.42[/C][C]22.4118346133419[/C][C]1.94824615690334[/C][/ROW]
[ROW][C]0.43[/C][C]22.7034852167549[/C][C]1.89322772226452[/C][/ROW]
[ROW][C]0.44[/C][C]22.9867197180856[/C][C]1.82970775216367[/C][/ROW]
[ROW][C]0.45[/C][C]23.2609239646995[/C][C]1.76250218970827[/C][/ROW]
[ROW][C]0.46[/C][C]23.526134902631[/C][C]1.69678421911606[/C][/ROW]
[ROW][C]0.47[/C][C]23.7830371583275[/C][C]1.63764531106622[/C][/ROW]
[ROW][C]0.48[/C][C]24.0329083380577[/C][C]1.58979240871978[/C][/ROW]
[ROW][C]0.49[/C][C]24.2775181062752[/C][C]1.5569559123105[/C][/ROW]
[ROW][C]0.5[/C][C]24.5189897180706[/C][C]1.54163148475538[/C][/ROW]
[ROW][C]0.51[/C][C]24.7596353286744[/C][C]1.54478675722919[/C][/ROW]
[ROW][C]0.52[/C][C]25.001778011341[/C][C]1.56566897276684[/C][/ROW]
[ROW][C]0.53[/C][C]25.2475740355349[/C][C]1.60203788111896[/C][/ROW]
[ROW][C]0.54[/C][C]25.4988487026719[/C][C]1.65038805947978[/C][/ROW]
[ROW][C]0.55[/C][C]25.756958018255[/C][C]1.70628840410018[/C][/ROW]
[ROW][C]0.56[/C][C]26.0226867698727[/C][C]1.76483003739525[/C][/ROW]
[ROW][C]0.57[/C][C]26.2961912122454[/C][C]1.82099641713418[/C][/ROW]
[ROW][C]0.58[/C][C]26.5769915572223[/C][C]1.87004976259052[/C][/ROW]
[ROW][C]0.59[/C][C]26.8640158975811[/C][C]1.90783112885653[/C][/ROW]
[ROW][C]0.6[/C][C]27.1556932263927[/C][C]1.93106879090619[/C][/ROW]
[ROW][C]0.61[/C][C]27.4500891449631[/C][C]1.93765332117411[/C][/ROW]
[ROW][C]0.62[/C][C]27.745074097642[/C][C]1.9267569169044[/C][/ROW]
[ROW][C]0.63[/C][C]28.0385110114858[/C][C]1.8988790813212[/C][/ROW]
[ROW][C]0.64[/C][C]28.328447505636[/C][C]1.85594419416259[/C][/ROW]
[ROW][C]0.65[/C][C]28.6132976840368[/C][C]1.80099381058577[/C][/ROW]
[ROW][C]0.66[/C][C]28.8920000114136[/C][C]1.73812158125167[/C][/ROW]
[ROW][C]0.67[/C][C]29.1641406705129[/C][C]1.67210966180732[/C][/ROW]
[ROW][C]0.68[/C][C]29.4300355825115[/C][C]1.60815306369559[/C][/ROW]
[ROW][C]0.69[/C][C]29.6907681941476[/C][C]1.55152661406357[/C][/ROW]
[ROW][C]0.7[/C][C]29.9481833771927[/C][C]1.50725306739993[/C][/ROW]
[ROW][C]0.71[/C][C]30.2048396677689[/C][C]1.47980989930597[/C][/ROW]
[ROW][C]0.72[/C][C]30.4639222690682[/C][C]1.47285857994493[/C][/ROW]
[ROW][C]0.73[/C][C]30.7291179542592[/C][C]1.48898779880417[/C][/ROW]
[ROW][C]0.74[/C][C]31.0044510347669[/C][C]1.52950470787582[/C][/ROW]
[ROW][C]0.75[/C][C]31.2940782009396[/C][C]1.59429186201774[/C][/ROW]
[ROW][C]0.76[/C][C]31.6020408161472[/C][C]1.68152166218662[/C][/ROW]
[ROW][C]0.77[/C][C]31.9319774515877[/C][C]1.78760636544843[/C][/ROW]
[ROW][C]0.78[/C][C]32.2868076557025[/C][C]1.9069663716168[/C][/ROW]
[ROW][C]0.79[/C][C]32.6684095472314[/C][C]2.03228839913047[/C][/ROW]
[ROW][C]0.8[/C][C]33.0773267893554[/C][C]2.15459898247476[/C][/ROW]
[ROW][C]0.81[/C][C]33.5125515580488[/C][C]2.26401993496413[/C][/ROW]
[ROW][C]0.82[/C][C]33.9714352400108[/C][C]2.35060140303988[/C][/ROW]
[ROW][C]0.83[/C][C]34.4497739004515[/C][C]2.40543525537527[/C][/ROW]
[ROW][C]0.84[/C][C]34.9420983316216[/C][C]2.42188242533831[/C][/ROW]
[ROW][C]0.85[/C][C]35.4421681338076[/C][C]2.39660102857806[/C][/ROW]
[ROW][C]0.86[/C][C]35.9436279731852[/C][C]2.33034573062849[/C][/ROW]
[ROW][C]0.87[/C][C]36.4407370699502[/C][C]2.22826217701307[/C][/ROW]
[ROW][C]0.88[/C][C]36.929037965447[/C][C]2.09941033860347[/C][/ROW]
[ROW][C]0.89[/C][C]37.4057976644905[/C][C]1.95571904065294[/C][/ROW]
[ROW][C]0.9[/C][C]37.8700448992642[/C][C]1.80984119750444[/C][/ROW]
[ROW][C]0.91[/C][C]38.3220548927333[/C][C]1.67236495270471[/C][/ROW]
[ROW][C]0.92[/C][C]38.7622140165484[/C][C]1.54836942564509[/C][/ROW]
[ROW][C]0.93[/C][C]39.1893506446817[/C][C]1.43446317242449[/C][/ROW]
[ROW][C]0.94[/C][C]39.5988601354083[/C][C]1.31784086808658[/C][/ROW]
[ROW][C]0.95[/C][C]39.9812649145146[/C][C]1.17851086452201[/C][/ROW]
[ROW][C]0.96[/C][C]40.3221371462292[/C][C]0.995477169495704[/C][/ROW]
[ROW][C]0.97[/C][C]40.6043409011701[/C][C]0.757387009422114[/C][/ROW]
[ROW][C]0.98[/C][C]40.8129847644099[/C][C]0.476554468706244[/C][/ROW]
[ROW][C]0.99[/C][C]40.9420818533247[/C][C]0.199627759302378[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Harrell-Davis Quantiles
quantilesvaluestandard error
0.0110.166644918430.87263928338988
0.0210.41666634620820.75982611615514
0.0310.70690249074430.714094468851503
0.0411.01048388479040.767160979786889
0.0511.31936128434160.888285522775273
0.0611.63572682711931.03043163832832
0.0711.96346784451381.16392234244265
0.0812.30390392798521.27657039591726
0.0912.65524092980451.36620455760914
0.113.01373828017831.43454256318925
0.1113.3750607538951.4838362011792
0.1213.73517460492661.51591064087921
0.1314.09074868487681.53253599993947
0.1414.43924320766481.5360118998519
0.1514.77886198511841.52931363322259
0.1615.10846504278191.51574198430676
0.1715.42747384404841.4983538511636
0.1815.73577342537481.47945630384081
0.1916.03361408560531.46053160190977
0.216.32152203879461.44230619657323
0.2116.60023150720361.4253441992102
0.2216.87064652882871.41029494774648
0.2317.13383173250051.39832782988227
0.2417.39102207651211.39114027633005
0.2517.6436357975851.39082176599694
0.2617.89327414712761.39948543371984
0.2718.14169536425581.41894713018008
0.2818.39075693392711.45028308992384
0.2918.64232738753051.49364697492448
0.318.89817503374211.5481048093521
0.3119.15984512662261.61164999038819
0.3219.42853888106371.68144461004869
0.3319.7050077164241.75389200064405
0.3419.98947462760351.82499919580623
0.3520.28159210030951.89061091771644
0.3620.58044282327661.94670831405948
0.3720.88458580448951.98972918095273
0.3821.19214653307182.01685795588458
0.3921.50094575936292.02626671809378
0.421.80865761449062.0173107357105
0.4122.11298457279641.99064835815567
0.4222.41183461334191.94824615690334
0.4322.70348521675491.89322772226452
0.4422.98671971808561.82970775216367
0.4523.26092396469951.76250218970827
0.4623.5261349026311.69678421911606
0.4723.78303715832751.63764531106622
0.4824.03290833805771.58979240871978
0.4924.27751810627521.5569559123105
0.524.51898971807061.54163148475538
0.5124.75963532867441.54478675722919
0.5225.0017780113411.56566897276684
0.5325.24757403553491.60203788111896
0.5425.49884870267191.65038805947978
0.5525.7569580182551.70628840410018
0.5626.02268676987271.76483003739525
0.5726.29619121224541.82099641713418
0.5826.57699155722231.87004976259052
0.5926.86401589758111.90783112885653
0.627.15569322639271.93106879090619
0.6127.45008914496311.93765332117411
0.6227.7450740976421.9267569169044
0.6328.03851101148581.8988790813212
0.6428.3284475056361.85594419416259
0.6528.61329768403681.80099381058577
0.6628.89200001141361.73812158125167
0.6729.16414067051291.67210966180732
0.6829.43003558251151.60815306369559
0.6929.69076819414761.55152661406357
0.729.94818337719271.50725306739993
0.7130.20483966776891.47980989930597
0.7230.46392226906821.47285857994493
0.7330.72911795425921.48898779880417
0.7431.00445103476691.52950470787582
0.7531.29407820093961.59429186201774
0.7631.60204081614721.68152166218662
0.7731.93197745158771.78760636544843
0.7832.28680765570251.9069663716168
0.7932.66840954723142.03228839913047
0.833.07732678935542.15459898247476
0.8133.51255155804882.26401993496413
0.8233.97143524001082.35060140303988
0.8334.44977390045152.40543525537527
0.8434.94209833162162.42188242533831
0.8535.44216813380762.39660102857806
0.8635.94362797318522.33034573062849
0.8736.44073706995022.22826217701307
0.8836.9290379654472.09941033860347
0.8937.40579766449051.95571904065294
0.937.87004489926421.80984119750444
0.9138.32205489273331.67236495270471
0.9238.76221401654841.54836942564509
0.9339.18935064468171.43446317242449
0.9439.59886013540831.31784086808658
0.9539.98126491451461.17851086452201
0.9640.32213714622920.995477169495704
0.9740.60434090117010.757387009422114
0.9840.81298476440990.476554468706244
0.9940.94208185332470.199627759302378


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
Parameters (R input):
par1 = 0.01 ; par2 = 0.99 ; par3 = 0.01 ;
R code (references can be found in the software module):
par1 <- as(par1,'numeric')
par2 <- as(par2,'numeric')
par3 <- as(par3,'numeric')
library(Hmisc)
myseq <- seq(par1, par2, par3)
hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE)
bitmap(file='test1.png')
plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab)
grid()
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'quantiles',header=TRUE)
a<-table.element(a,'value',header=TRUE)
a<-table.element(a,'standard error',header=TRUE)
a<-table.row.end(a)
length(hd)
for (i in 1:length(hd))
{
a<-table.row.start(a)
a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE)
a<-table.element(a,as.matrix(hd[i])[1,1])
a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')